Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
| import { setMessageEditContext } from '$lib/contexts'; | |
| import { MessageRole } from '$lib/enums'; | |
| import { parseFilesToMessageExtras } from '$lib/utils/convert-files-to-extra'; | |
| interface UseMessageEditContextOptions { | |
| getContent: () => string; | |
| getExtras: () => DatabaseMessageExtra[]; | |
| showSaveOnlyOption?: boolean; | |
| onSave: (content: string, extras?: DatabaseMessageExtra[]) => void; | |
| } | |
| export function useMessageEditContext(options: UseMessageEditContextOptions) { | |
| let isEditing = $state(false); | |
| let editedContent = $state(''); | |
| let editedExtras = $state<DatabaseMessageExtra[]>([]); | |
| let editedUploadedFiles = $state<ChatUploadedFile[]>([]); | |
| function handleEdit() { | |
| editedContent = options.getContent(); | |
| editedExtras = [...options.getExtras()]; | |
| editedUploadedFiles = []; | |
| isEditing = true; | |
| } | |
| async function handleSaveEdit() { | |
| const trimmed = editedContent.trim(); | |
| if (!trimmed && editedExtras.length === 0 && editedUploadedFiles.length === 0) return; | |
| let finalExtras: DatabaseMessageExtra[] = $state.snapshot(editedExtras); | |
| if (editedUploadedFiles.length > 0) { | |
| const plainFiles = $state.snapshot(editedUploadedFiles); | |
| const result = await parseFilesToMessageExtras(plainFiles); | |
| const newExtras = result?.extras || []; | |
| finalExtras = [...finalExtras, ...newExtras]; | |
| } | |
| options.onSave(trimmed, finalExtras.length > 0 ? finalExtras : undefined); | |
| isEditing = false; | |
| } | |
| function handleCancelEdit() { | |
| isEditing = false; | |
| } | |
| setMessageEditContext({ | |
| get isEditing() { | |
| return isEditing; | |
| }, | |
| get editedContent() { | |
| return editedContent; | |
| }, | |
| get editedExtras() { | |
| return editedExtras; | |
| }, | |
| get editedUploadedFiles() { | |
| return editedUploadedFiles; | |
| }, | |
| get originalContent() { | |
| return options.getContent(); | |
| }, | |
| get originalExtras() { | |
| return options.getExtras(); | |
| }, | |
| get showSaveOnlyOption() { | |
| return options.showSaveOnlyOption ?? false; | |
| }, | |
| get showBranchAfterEditOption() { | |
| return false; | |
| }, | |
| get shouldBranchAfterEdit() { | |
| return false; | |
| }, | |
| get messageRole() { | |
| return MessageRole.USER; | |
| }, | |
| setContent: (c: string) => { | |
| editedContent = c; | |
| }, | |
| setExtras: (e: DatabaseMessageExtra[]) => { | |
| editedExtras = e; | |
| }, | |
| setUploadedFiles: (f: ChatUploadedFile[]) => { | |
| editedUploadedFiles = f; | |
| }, | |
| save: handleSaveEdit, | |
| saveOnly: handleSaveEdit, | |
| cancel: handleCancelEdit, | |
| startEdit: handleEdit | |
| }); | |
| return { | |
| get isEditing() { | |
| return isEditing; | |
| }, | |
| handleEdit, | |
| handleSaveEdit, | |
| handleCancelEdit | |
| }; | |
| } | |